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Mathematical Biosciences and Engineering
Article . 2006 . Peer-reviewed
Data sources: Crossref
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Mathematical Biosciences and Engineering
Article
License: CC BY
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Weakly coupled traveling waves for a model of growth and competition in a flow reactor

Authors: Wenzhang Huang;

Weakly coupled traveling waves for a model of growth and competition in a flow reactor

Abstract

For a reaction-diffusion model of microbial flow reactor with two competing populations, we show the coexistence of weakly coupled traveling wave solutions in the sense that one organism undergoes a population growth while another organism remains in a very low population density in the first half interval of the space line; the population densities then exchange the position in the next half interval. This type of traveling wave can occur only if the input nutrient slightly exceeds the maximum carrying capacity for these two populations. This means, lacking an adequate nutrient, two competing organisms will manage to survive in a more economical way.

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Keywords

unstable manifold, reaction-diffusion equations, microbial flow reactor model, weakly coupled traveling waves., QA1-939, TP248.13-248.65, Mathematics, Biotechnology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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